Metadata-Version: 2.1
Name: scikit-surgeryimage
Version: 0.9.2
Summary: scikit-surgeryimage implements image processing tools and alogrithms for Image Guided Surgery.
Home-page: https://github.com/SciKit-Surgery/scikit-surgeryimage
Author: Stephen Thompson
Author-email: s.thompson@ucl.ac.uk
License: BSD-3 license
Description: scikit-surgeryimage
        ====================
        
        .. image:: https://github.com/SciKit-Surgery/scikit-surgeryimage/raw/master/weiss_logo.png
           :height: 128px
           :width: 128px
           :target: https://github.com/SciKit-Surgery/scikit-surgeryimage
           :alt: Logo
        
        |
        
        .. image:: https://github.com/SciKit-Surgery/scikit-surgeryimage/workflows/.github/workflows/ci.yml/badge.svg
           :target: https://github.com/SciKit-Surgery/scikit-surgeryimage/actions
           :alt: GitHub Actions CI status
        
        .. image:: https://coveralls.io/repos/github/SciKit-Surgery/scikit-surgeryimage/badge.svg?branch=master&service=github
            :target: https://coveralls.io/github/SciKit-Surgery/scikit-surgeryimage?branch=master
            :alt: Test coverage
        
        .. image:: https://readthedocs.org/projects/scikit-surgeryimage/badge/?version=latest
            :target: http://scikit-surgeryimage.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        .. image:: https://img.shields.io/badge/Cite-SciKit--Surgery-informational
           :target: https://doi.org/10.1007/s11548-020-02180-5
           :alt: The SciKit-Surgery paper
        
        .. image:: https://img.shields.io/twitter/url?style=social&url=http%3A%2F%2Fscikit-surgery.org
           :target: https://twitter.com/intent/tweet?screen_name=scikit_surgery&ref_src=twsrc%5Etfw
           :alt: Get in touch via twitter
        
        .. image:: https://img.shields.io/twitter/follow/scikit_surgery?style=social
           :target: https://twitter.com/scikit_surgery?ref_src=twsrc%5Etfw
           :alt: Follow scikit_surgery on twitter
        
        
        
        
        scikit-surgeryimage is a python only project to implement image processing algorithms
        that are useful for image-guided surgery.
        
        scikit-surgeryimage was developed at the `Wellcome EPSRC Centre for Interventional and Surgical Sciences`_ in `University College London (UCL)`_.
        
        .. features-start
        
        Features
        --------
        
        requirements.txt specifies a dependency on opencv-contrib-python, so you can use any OpenCV python therein.
        In addition, this project provides:
        
        * `Convenience classes <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#data-acquisition>`_ for video read and write.
        * `Utilities <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#calibration-tools>`_ to detect the number of cameras and prepare text for overlay on video.
        * A `PointDetector <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#utilities>`_ interface for video camera calibration and implementations such as OpenCV chessboard, ArUco, ChArUco and combinations.
        * Generate `ChArUco <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#sksurgeryimage.calibration.charuco.make_charuco_board>`_ patterns
        * `Interlacing and deinterlacing <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#video-interlacing-functions>`_.
        * Convenience wrappers for `erosion and dilation <https://scikit-surgeryimage.readthedocs.io/en/latest/module_ref.html#module-sksurgeryimage.processing.morphological_operators>`_.
        
        .. features-end
        
        Installing
        ~~~~~~~~~~
        
        You can pip install directly from the repository as follows:
        ::
        
            pip install scikit-surgeryimage
        
        
        Developing
        ^^^^^^^^^^
        
        You can clone the repository using the following command:
        
        ::
        
            git clone https://github.com/SciKit-Surgery/scikit-surgeryimage
        
        
        Running the tests
        ^^^^^^^^^^^^^^^^^
        
        You can run the unit tests by installing and running tox:
        
            ::
        
              pip install tox
              tox
        
        Encountering Problems?
        ^^^^^^^^^^^^^^^^^^^^^^
        Please check list of `common issues`_.
        
        Contributing
        ^^^^^^^^^^^^
        
        Please see the `contributing guidelines`_.
        
        
        Useful links
        ^^^^^^^^^^^^
        
        * `Source code repository`_
        * `Documentation`_
        
        
        Licensing and copyright
        -----------------------
        
        Copyright 2018 University College London.
        scikit-surgeryimage is released under the BSD-3 license. Please see the `license file`_ for details.
        
        
        Acknowledgements
        ----------------
        
        Supported by `Wellcome`_ and `EPSRC`_.
        
        
        .. _`Wellcome EPSRC Centre for Interventional and Surgical Sciences`: http://www.ucl.ac.uk/weiss
        .. _`source code repository`: https://github.com/SciKit-Surgery/scikit-surgeryimage
        .. _`Documentation`: https://scikit-surgeryimage.readthedocs.io
        .. _`University College London (UCL)`: http://www.ucl.ac.uk/
        .. _`Wellcome`: https://wellcome.ac.uk/
        .. _`EPSRC`: https://www.epsrc.ac.uk/
        .. _`contributing guidelines`: https://github.com/SciKit-Surgery/scikit-surgeryimage/blob/master/CONTRIBUTING.rst
        .. _`license file`: https://github.com/SciKit-Surgery/scikit-surgeryimage/blob/master/LICENSE
        .. _`common issues`: https://github.com/SciKit-Surgery/scikit-surgery/wikis/Common-Issues
        
Keywords: medical imaging
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Description-Content-Type: text/x-rst
